---------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/006489466/Dropbox/Depolicing/SubmissionFiles/FergEff/PolicingOX/RnR Round 2/New Analysis Pt
>  2/FinalComm100k.log
  log type:  text
 opened on:   4 May 2022, 01:43:51

. xtset PanelID MonthYear, monthly
       panel variable:  PanelID (unbalanced)
        time variable:  MonthYear, 2011m1 to 2016m12, but with gaps
                delta:  1 month

. xtnbreg VehRd FergEff d.UnempL d.OffRateL d.DepScore d.PctNonWhtL  ///
> i.MonthYear if NoCov < 1, fe irr exposure(population) ///
> vce(bootstrap ,seed(909) reps(5000) nodots)
note: 683.MonthYear omitted because of collinearity

Conditional FE negative binomial regression     Number of obs     =      2,628
Group variable: PanelID                         Number of groups  =         44

                                                Obs per group:
                                                              min =         34
                                                              avg =       59.7
                                                              max =         71

                                                Wald chi2(74)     =   21617.72
Log likelihood  = -17642.176                    Prob > chi2       =     0.0000

                                (Replications based on 44 clusters in PanelID)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
       VehRd |        IRR   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     FergEff |   .6008814   .0716594    -4.27   0.000     .4756384    .7591029
             |
      UnempL |
         D1. |   .7939388   .1269283    -1.44   0.149     .5803688      1.0861
             |
    OffRateL |
         D1. |   .8674297   .4162472    -0.30   0.767     .3386682    2.221745
             |
    DepScore |
         D1. |    .876336   .0908487    -1.27   0.203     .7152002    1.073776
             |
  PctNonWhtL |
         D1. |   2.978476   6.185813     0.53   0.599     .0508378    174.5026
             |
   MonthYear |
        614  |   1.138525   .0398511     3.71   0.000     1.063037    1.219373
        615  |   1.008975   .0313704     0.29   0.774     .9493258    1.072371
        616  |   1.055958   .0431895     1.33   0.183     .9746126    1.144094
        617  |   1.040218   .0380337     1.08   0.281     .9682821    1.117499
        618  |   1.011454   .0394479     0.29   0.770     .9370187    1.091802
        619  |   1.008746   .0532099     0.17   0.869      .909666    1.118617
        620  |   .9425164   .0472627    -1.18   0.238     .8542898    1.039854
        621  |   .8814323   .0391324    -2.84   0.004     .8079764    .9615663
        622  |   .8705393   .0381911    -3.16   0.002     .7988139    .9487048
        623  |   .8470063   .0487965    -2.88   0.004     .7565689    .9482544
        624  |    .982282   .0607966    -0.29   0.773     .8700667     1.10897
        625  |   .9503894   .0559363    -0.86   0.387     .8468433    1.066596
        626  |   .9556626   .0671634    -0.65   0.519     .8326886    1.096798
        627  |   .8589459    .054491    -2.40   0.017     .7585184      .97267
        628  |   .9316741   .0608397    -1.08   0.278     .8197461    1.058885
        629  |    .882823   .0533626    -2.06   0.039     .7841921    .9938591
        630  |   .8718331    .051557    -2.32   0.020     .7764195     .978972
        631  |   .8967717     .05762    -1.70   0.090     .7906602    1.017124
        632  |     .80296   .0512111    -3.44   0.001     .7086081     .909875
        633  |   .8409963   .0511258    -2.85   0.004     .7465312     .947415
        634  |   .8247801    .055439    -2.87   0.004     .7229748     .940921
        635  |   .7540446   .0545564    -3.90   0.000     .6543516    .8689263
        636  |   .9076966   .0645491    -1.36   0.173     .7896037    1.043451
        637  |   .8072312   .0582456    -2.97   0.003     .7007768     .929857
        638  |   .9353201   .0673289    -0.93   0.353     .8122442    1.077045
        639  |   .8218676   .0587203    -2.75   0.006     .7144728    .9454052
        640  |   .8745223   .0616542    -1.90   0.057     .7616594    1.004109
        641  |   .7854126   .0522664    -3.63   0.000     .6893716    .8948336
        642  |   .7931352   .0528294    -3.48   0.001     .6960655    .9037418
        643  |   .8508851   .0607396    -2.26   0.024     .7397904    .9786629
        644  |   .7908472   .0610315    -3.04   0.002     .6798348    .9199872
        645  |   .8470015   .0698067    -2.01   0.044     .7206616    .9954902
        646  |   .8194332   .0655094    -2.49   0.013     .7005909     .958435
        647  |   .7554135   .0617136    -3.43   0.001     .6436439    .8865919
        648  |    .884014   .0724661    -1.50   0.133     .7528055    1.038091
        649  |   .8385822   .0621523    -2.38   0.018     .7252004    .9696908
        650  |   .8827387   .0622694    -1.77   0.077     .7687541    1.013624
        651  |   .8440407   .0646179    -2.21   0.027     .7264359    .9806848
        652  |   .8750519   .0634265    -1.84   0.066     .7591648    1.008629
        653  |   .7853651   .0538221    -3.53   0.000     .6866534    .8982673
        654  |   .8313076   .0548415    -2.80   0.005     .7304793    .9460533
        655  |   1.356489   .1643993     2.52   0.012     1.069683    1.720194
        656  |   1.276321   .1516481     2.05   0.040     1.011168    1.611005
        657  |   1.284753    .149266     2.16   0.031     1.023116    1.613298
        658  |   1.175558   .1258106     1.51   0.131     .9531179    1.449911
        659  |   1.068832   .1151062     0.62   0.537      .865447    1.320013
        660  |   1.249012    .133294     2.08   0.037     1.013273    1.539595
        661  |   1.176442   .1310682     1.46   0.145     .9456657    1.463536
        662  |   1.266906   .1339218     2.24   0.025      1.02983    1.558558
        663  |   1.224846   .1337428     1.86   0.063     .9888664     1.51714
        664  |   1.224575   .1236925     2.01   0.045     1.004631     1.49267
        665  |   1.173781    .115302     1.63   0.103     .9682162    1.422989
        666  |    1.20723   .1249897     1.82   0.069     .9855107    1.478831
        667  |   1.214242   .1332863     1.77   0.077     .9791956    1.505708
        668  |   1.155777   .1215111     1.38   0.169     .9405546    1.420247
        669  |    1.18873   .1145812     1.79   0.073      .984093     1.43592
        670  |   1.123944   .1073338     1.22   0.221     .9320881     1.35529
        671  |   1.070884   .1116523     0.66   0.511     .8729602    1.313682
        672  |   1.213481   .1008414     2.33   0.020     1.031092    1.428133
        673  |   1.230623    .080693     3.16   0.002     1.082208    1.399391
        674  |   1.265855   .0783769     3.81   0.000     1.121194    1.429181
        675  |   1.121582    .059218     2.17   0.030      1.01132    1.243865
        676  |   1.203255   .0690281     3.23   0.001     1.075292    1.346447
        677  |   1.187552   .0750785     2.72   0.007     1.049153    1.344209
        678  |   1.069095   .0566615     1.26   0.207     .9636142    1.186123
        679  |    1.20663   .0722784     3.14   0.002     1.072967    1.356944
        680  |   1.144825   .0644425     2.40   0.016     1.025238    1.278361
        681  |   1.093186   .0484338     2.01   0.044     1.002263    1.192358
        682  |   1.020236    .039132     0.52   0.601     .9463507     1.09989
        683  |          1  (omitted)
             |
       _cons |   .0000446   9.47e-06   -47.17   0.000     .0000294    .0000676
ln(popula~n) |          1  (exposure)
------------------------------------------------------------------------------
Note: _cons estimates baseline incidence rate (conditional on zero random effects).

. 
. xtset PanelID MonthYear, monthly
       panel variable:  PanelID (unbalanced)
        time variable:  MonthYear, 2011m1 to 2016m12, but with gaps
                delta:  1 month

. xtnbreg PedRd FergEff d.UnempL d.OffRateL d.DepScore d.PctNonWhtL  ///
> i.MonthYear if NoCov < 1 & Ped > 0 & weirdPed < 1, ///
> fe irr exposure(population) vce(bootstrap ,seed(909) reps(5000) nodots)
note: 683.MonthYear omitted because of collinearity

Conditional FE negative binomial regression     Number of obs     =      1,120
Group variable: PanelID                         Number of groups  =         19

                                                Obs per group:
                                                              min =         15
                                                              avg =       58.9
                                                              max =         71

                                                Wald chi2(74)     =   67784.66
Log likelihood  = -4548.0554                    Prob > chi2       =     0.0000

                                (Replications based on 19 clusters in PanelID)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
       PedRd |        IRR   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     FergEff |   .4907874   .1173565    -2.98   0.003     .3071532    .7842088
             |
      UnempL |
         D1. |   .5171994   .1681588    -2.03   0.043     .2734664    .9781649
             |
    OffRateL |
         D1. |   .7651097   .3782383    -0.54   0.588     .2903522    2.016147
             |
    DepScore |
         D1. |   1.287687   .3493883     0.93   0.351     .7565782    2.191629
             |
  PctNonWhtL |
         D1. |   .0391516   .2106076    -0.60   0.547     1.03e-06    1484.582
             |
   MonthYear |
        614  |   1.236972   .0981929     2.68   0.007     1.058742    1.445206
        615  |   1.102641   .0440265     2.45   0.014     1.019641    1.192398
        616  |   1.236789   .0840952     3.13   0.002     1.082476      1.4131
        617  |   1.223398   .0985227     2.50   0.012     1.044766    1.432573
        618  |   1.228765   .1940487     1.30   0.192     .9016663    1.674527
        619  |   1.232617   .1934472     1.33   0.183      .906234    1.676548
        620  |   1.171079   .1606705     1.15   0.250     .8949581    1.532393
        621  |   1.122389   .1551713     0.84   0.404      .855981    1.471712
        622  |   .9979939   .1302692    -0.02   0.988     .7727155     1.28895
        623  |   .9110428   .1386163    -0.61   0.540     .6761256    1.227581
        624  |   1.169615   .2578746     0.71   0.477     .7592271    1.801832
        625  |   1.037038   .2201159     0.17   0.864     .6841064    1.572049
        626  |   1.194236    .232351     0.91   0.362     .8156056     1.74864
        627  |   1.116026   .1957672     0.63   0.531      .791337    1.573938
        628  |   1.246042   .2130515     1.29   0.198     .8912343    1.742101
        629  |   1.176377   .1564041     1.22   0.222     .9065168    1.526572
        630  |   1.183071    .240794     0.83   0.409     .7938957    1.763025
        631  |   1.148865   .2374151     0.67   0.502      .766243    1.722548
        632  |    1.04578   .2139378     0.22   0.827     .7003387    1.561611
        633  |    1.08393   .2569574     0.34   0.734     .6811056    1.724995
        634  |   .9686045   .2399122    -0.13   0.898     .5960925    1.573908
        635  |    .958501    .224676    -0.18   0.857     .6054355     1.51746
        636  |   1.116866   .3183283     0.39   0.698     .6388404    1.952585
        637  |   .8395202   .2054828    -0.71   0.475     .5196241    1.356354
        638  |   1.111019   .3024767     0.39   0.699     .6515991     1.89436
        639  |   1.050451   .2635479     0.20   0.844     .6424181    1.717647
        640  |   1.177316   .2798503     0.69   0.492      .738858    1.875968
        641  |   1.143274   .2606985     0.59   0.557     .7312273    1.787508
        642  |   1.049438   .2595514     0.20   0.845     .6462995    1.704039
        643  |   1.082426   .2536145     0.34   0.735      .683849    1.713312
        644  |   1.018288   .2432314     0.08   0.940     .6376024    1.626265
        645  |   1.092889   .2629973     0.37   0.712     .6819296    1.751511
        646  |   .9579149   .2346375    -0.18   0.861     .5926911    1.548194
        647  |   .8474558   .2210177    -0.63   0.526     .5083027    1.412901
        648  |   1.075488   .3364998     0.23   0.816     .5824797    1.985777
        649  |   .8004904   .2336689    -0.76   0.446     .4517355    1.418496
        650  |   .8783286   .2312224    -0.49   0.622     .5242952    1.471425
        651  |    .896205    .224105    -0.44   0.661     .5489792    1.463049
        652  |   1.049004   .2404258     0.21   0.835      .669401    1.643871
        653  |   .9879884   .2099933    -0.06   0.955     .6513765    1.498551
        654  |    1.17083   .2815428     0.66   0.512     .7308201    1.875761
        655  |   2.207097   .2042642     8.55   0.000     1.840958    2.646057
        656  |   2.054697   .1951744     7.58   0.000     1.705661    2.475157
        657  |   1.916362   .2167422     5.75   0.000     1.535345    2.391934
        658  |   1.514139   .1446879     4.34   0.000     1.255529    1.826017
        659  |   1.392293   .1385611     3.33   0.001     1.145563    1.692163
        660  |   1.863584   .1674661     6.93   0.000     1.562636    2.222491
        661  |   1.431154   .1336176     3.84   0.000     1.191832    1.718531
        662  |   1.574009   .1390883     5.13   0.000     1.323702    1.871647
        663  |   1.602263   .1722599     4.38   0.000     1.297839    1.978094
        664  |   1.839765   .2362621     4.75   0.000     1.430379    2.366319
        665  |   1.787251   .2436742     4.26   0.000     1.368146     2.33474
        666  |   1.773319   .2544779     3.99   0.000     1.338555    2.349295
        667  |   1.725157   .2230334     4.22   0.000     1.339007    2.222668
        668  |   1.642888   .1638513     4.98   0.000     1.351184    1.997567
        669  |    1.72809   .1767422     5.35   0.000     1.414194     2.11166
        670  |     1.4564   .1362713     4.02   0.000     1.212372    1.749545
        671  |   1.201665   .1368877     1.61   0.107     .9612107     1.50227
        672  |   1.633233   .1802963     4.44   0.000     1.315474    2.027749
        673  |   1.317414   .1174866     3.09   0.002     1.106146    1.569034
        674  |   1.511337   .1215671     5.13   0.000     1.290902    1.769413
        675  |    1.35802    .114675     3.62   0.000     1.150875    1.602448
        676  |   1.456582   .1164518     4.70   0.000     1.245324    1.703677
        677  |   1.518787   .1126308     5.64   0.000     1.313328    1.756388
        678  |   1.379904   .1615652     2.75   0.006     1.096949    1.735846
        679  |   1.315088   .1038965     3.47   0.001     1.126437    1.535333
        680  |   1.343793   .0955912     4.15   0.000     1.168912    1.544838
        681  |   1.174609   .0541584     3.49   0.000     1.073116    1.285702
        682  |   .9691261   .0568925    -0.53   0.593     .8637948    1.087302
        683  |          1  (omitted)
             |
       _cons |    .000039   .0000146   -27.03   0.000     .0000187    .0000813
ln(popula~n) |          1  (exposure)
------------------------------------------------------------------------------
Note: _cons estimates baseline incidence rate (conditional on zero random effects).

. 
. xtset PanelID MonthYear, monthly
       panel variable:  PanelID (unbalanced)
        time variable:  MonthYear, 2011m1 to 2016m12, but with gaps
                delta:  1 month

. xtnbreg TotRd FergEff d.UnempL d.OffRateL d.DepScore d.PctNonWhtL /// 
>  i.MonthYear if NoCov < 1 & Ped > 0 & weirdPed < 1, ///
> fe irr exposure(population) vce(bootstrap ,seed(909) reps(5000) nodots)
note: 683.MonthYear omitted because of collinearity

Conditional FE negative binomial regression     Number of obs     =      1,120
Group variable: PanelID                         Number of groups  =         19

                                                Obs per group:
                                                              min =         15
                                                              avg =       58.9
                                                              max =         71

                                                Wald chi2(74)     =  192718.34
Log likelihood  = -7566.6177                    Prob > chi2       =     0.0000

                                (Replications based on 19 clusters in PanelID)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
       TotRd |        IRR   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     FergEff |   .5840698   .1006476    -3.12   0.002     .4166628    .8187378
             |
      UnempL |
         D1. |   .8246168   .1481412    -1.07   0.283     .5798759    1.172652
             |
    OffRateL |
         D1. |   .6661257   .4430925    -0.61   0.541     .1808653    2.453337
             |
    DepScore |
         D1. |   .9170268   .1673004    -0.47   0.635     .6413435    1.311214
             |
  PctNonWhtL |
         D1. |   9.327887   23.55735     0.88   0.377     .0660838    1316.655
             |
   MonthYear |
        614  |   1.146971   .0750473     2.10   0.036     1.008922    1.303909
        615  |   1.007032   .0534702     0.13   0.895     .9075011    1.117479
        616  |   1.052069   .0673764     0.79   0.428     .9279651     1.19277
        617  |   1.055891   .0732141     0.78   0.433     .9217176    1.209596
        618  |   1.034432   .0904364     0.39   0.699     .8715343    1.227776
        619  |   1.056157   .0926934     0.62   0.534     .8892482    1.254394
        620  |   .9750693    .084507    -0.29   0.771     .8227423    1.155599
        621  |   .9162073   .0748242    -1.07   0.284     .7806897    1.075249
        622  |   .8899311   .0616558    -1.68   0.092     .7769336    1.019363
        623  |   .8591761    .063328    -2.06   0.039     .7436044    .9927101
        624  |   .9895512   .1149889    -0.09   0.928     .7879997    1.242655
        625  |   .9489012   .0868836    -0.57   0.567      .793018    1.135426
        626  |   .9679491   .1112011    -0.28   0.777      .772794    1.212387
        627  |    .856781    .086359    -1.53   0.125     .7031908    1.043918
        628  |   .9474691   .1036476    -0.49   0.622     .7646252    1.174036
        629  |    .881453   .0718471    -1.55   0.122     .7513078    1.034143
        630  |   .8948351   .0993697    -1.00   0.317     .7198114    1.112416
        631  |    .902826   .1095302    -0.84   0.399     .7117654    1.145173
        632  |   .8239793   .0970967    -1.64   0.100     .6540511    1.038056
        633  |   .8558465   .0941204    -1.42   0.157     .6899003    1.061709
        634  |   .8111095   .1056091    -1.61   0.108     .6284204    1.046908
        635  |   .7671385   .0988521    -2.06   0.040     .5959221    .9875477
        636  |   .9008204   .1156045    -0.81   0.416     .7004891    1.158444
        637  |   .7570976   .0798174    -2.64   0.008     .6157629    .9308725
        638  |   .9409799   .1165411    -0.49   0.623     .7381734    1.199506
        639  |   .8068034   .1086322    -1.59   0.111     .6196658    1.050456
        640  |   .8826026   .1103486    -1.00   0.318     .6907844    1.127685
        641  |   .7889374   .0876456    -2.13   0.033     .6345704    .9808561
        642  |   .7901695   .0985238    -1.89   0.059     .6188517    1.008913
        643  |   .8530227   .1075293    -1.26   0.207     .6662863    1.092095
        644  |   .7968805   .1083976    -1.67   0.095     .6103886    1.040351
        645  |   .8393126   .1116819    -1.32   0.188     .6466359    1.089401
        646  |    .794486   .1060383    -1.72   0.085     .6116152    1.032035
        647  |   .7285678   .1034005    -2.23   0.026     .5516517    .9622214
        648  |   .8258677   .1297073    -1.22   0.223     .6070498    1.123561
        649  |   .7681668   .1111384    -1.82   0.068     .5785004    1.020017
        650  |   .7937672   .1015623    -1.81   0.071     .6177064    1.020009
        651  |   .7777605   .0992466    -1.97   0.049     .6056585    .9987664
        652  |   .8284964   .0933358    -1.67   0.095     .6643499      1.0332
        653  |   .7493148   .0791803    -2.73   0.006     .6091407    .9217455
        654  |   .8258133   .0980406    -1.61   0.107     .6543757    1.042165
        655  |   1.384023    .259627     1.73   0.083     .9582254    1.999029
        656  |   1.309744   .2320866     1.52   0.128     .9254513    1.853614
        657  |   1.280361    .231315     1.37   0.171     .8985682    1.824374
        658  |   1.131663   .1859498     0.75   0.452     .8200713    1.561647
        659  |    1.00527   .1605147     0.03   0.974     .7351377    1.374665
        660  |   1.162716   .1893747     0.93   0.355     .8449603    1.599968
        661  |   1.104995   .1862221     0.59   0.554     .7941627    1.537486
        662  |   1.169959   .1806479     1.02   0.309     .8644511    1.583436
        663  |   1.133636   .1787322     0.80   0.426     .8322825    1.544104
        664  |   1.198859   .1815525     1.20   0.231     .8909715     1.61314
        665  |   1.154729   .1718289     0.97   0.334     .8626157    1.545762
        666  |   1.117562   .1654317     0.75   0.453     .8361207    1.493737
        667  |   1.182926   .1938518     1.03   0.305     .8579602    1.630978
        668  |   1.156812   .1884885     0.89   0.371     .8405619    1.592047
        669  |   1.204172    .187348     1.19   0.232     .8876799    1.633505
        670  |   1.087727   .1630645     0.56   0.575     .8108004    1.459238
        671  |   .9746032   .1570231    -0.16   0.873     .7107003      1.3365
        672  |   1.196078   .1508708     1.42   0.156     .9340944     1.53154
        673  |   1.182076   .0949363     2.08   0.037      1.00991    1.383592
        674  |   1.242154    .096406     2.79   0.005     1.066871    1.446235
        675  |   1.094485   .0733967     1.35   0.178     .9596828    1.248221
        676  |   1.168496   .0825626     2.20   0.028     1.017381    1.342056
        677  |   1.164826   .0849899     2.09   0.037     1.009612    1.343903
        678  |   1.085447   .0803862     1.11   0.268     .9387943     1.25501
        679  |   1.203268    .098761     2.25   0.024     1.024467    1.413275
        680  |   1.157547   .0854223     1.98   0.047     1.001668    1.337686
        681  |   1.085581   .0651078     1.37   0.171     .9651869    1.220993
        682  |   .9716397   .0404448    -0.69   0.489     .8955168    1.054233
        683  |          1  (omitted)
             |
       _cons |   .0000451   .0000166   -27.18   0.000     .0000219    .0000928
ln(popula~n) |          1  (exposure)
------------------------------------------------------------------------------
Note: _cons estimates baseline incidence rate (conditional on zero random effects).

. log close
      name:  <unnamed>
       log:  /Users/006489466/Dropbox/Depolicing/SubmissionFiles/FergEff/PolicingOX/RnR Round 2/New Analysis Pt
>  2/FinalComm100k.log
  log type:  text
 closed on:   4 May 2022, 08:52:33
---------------------------------------------------------------------------------------------------------------
